Informatica is a cloud-based, AI-infused data management service that links, governs and unifies data across multi-cloud and hybrid environments. It includes services like data catalog, data integration and engineering, API and app integration, data quality and observability, and MDM and 360 applications. It's designed to modernize data management and make data AI-ready, so it's a good choice for companies trying to get more out of their data.
Another good option is Teradata, which offers a cloud analytics and data platform that integrates and harmonizes data across an enterprise. Its core product, ClearScape Analytics, provides a unified view of data and faster answers. Teradata supports a variety of workloads, including AI/ML, data lakes, data warehouses and transactional workloads, and can be deployed in public cloud, hybrid cloud or on-premises environments. Its flexibility and integration with major cloud companies make it a good option for speeding innovation and improving data-driven decision-making.
Cloudera is also worth considering, with a hybrid data platform that securely ingests, processes and analyzes data in the cloud and on-premises environments. Built on Apache Iceberg, it supports real-time insights, automated data pipelines, large-scale data analytics and accelerated machine learning. The platform is designed to eliminate data silos and optimize business operations, so it's a good option for companies trying to improve their data management and analytics.